风洞中时间分辨层析PIV检测方案(CCD相机)

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检测样品: 航空
检测项目: 时间分辨层析PIV
浏览次数: 433
发布时间: 2019-07-16
关联设备: 3种 查看全部
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北京欧兰科技发展有限公司

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采用三台LaVision公司的ImagerProHS高速相机,加上DaVis7.4软件平台,对风洞中的翼型进行了时间分辨层析PIV测量,并用一种新型的高效准确的MTE-MART算法,对结果进了分析处理,并比较了这种算法与其它多种算法的性能。

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The motion-tracking-enhanced MART (MTEMART;Novara et al. in Meas Sci Technol 21:035401,2010) has demonstrated the potential to increase the accuracy of tomographic PIV by the combined use of a short sequence of non-simultaneous recordings. A clear bottleneckof the MTE-MART technique has been its computational cost. For large datasets comprising time-resolved sequences, MTE-MART becomes unaffordable and has been barely applied even for the analysis of densely seeded tomographic PIV datasets. A novel implementation isproposed for tomographic PIV image sequences, which strongly reduces the computational burden of MTE-MART, possibly below that of regular MART. The method is a sequential algorithm that produces a time-marching estimation of the object intensity field based on an enhanced guess, which is built upon the object reconstructed at the previous time instant. As the method becomes effective after a number of snapshots (typically 5–10), the sequentialMTE-MART (SMTE) is most suited for time-resolved sequences. The computational cost reduction due to SMTE simply stems from the fewer MART iterations required for each time instant. Moreover, the method yields superior reconstruction quality and higher velocity field measurement precision when compared with both MART and MTE-MART. The working principle is assessed in terms of computational effort, reconstruction quality and velocityfield accuracy with both synthetic time-resolved tomographic images of a turbulent boundary layer and two experimental databases documented in the literature. The first is the time-resolved data of flow past an airfoil trailing edge used in the study of Novara and Scarano (Exp Fluids 52:1027–1041, 2012); the second is a swirling jet in a water flow. In both cases, the effective elimination of ghost particles is demonstrated in number and intensity within a short temporal transient of 5–10 frames, depending on the seeding density. The increased value of the velocity space–time correlation coefficient demonstrates the increased velocityfield accuracy of SMTE compared with MART.
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北京欧兰科技发展有限公司为您提供《风洞中时间分辨层析PIV检测方案(CCD相机)》,该方案主要用于航空中时间分辨层析PIV检测,参考标准--,《风洞中时间分辨层析PIV检测方案(CCD相机)》用到的仪器有Imager sCMOS PIV相机、体视层析粒子成像测速系统(Tomo-PIV)、LaVision DaVis 智能成像软件平台